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Big Data on Spark for Beginners

Track :

Computer Science

Lessons no : 33

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What will you learn in this course?
  • Master Spark architecture and distributed computing principles for large-scale data processing and analysis
  • Apply Spark APIs for data manipulation, transformation, and querying in real-world scenarios
  • Implement machine learning algorithms using Spark MLlib for predictive analytics and data modeling
  • Utilize Spark for handling big data workflows, including data ingestion, cleaning, and storage
  • Optimize Spark performance through tuning, resource management, and efficient data processing techniques
  • Develop scalable data pipelines integrating Spark with Hadoop, Kafka, and other big data tools
  • Analyze industry-specific datasets to extract actionable insights using Spark analytics
  • Create and deploy Spark-based data applications for business intelligence and decision-making
  • Troubleshoot common Spark issues to ensure reliable and efficient big data processing
  • Enhance understanding of Spark's role in big data ecosystems for career advancement in data engineering

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Lessons | 33


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